2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems最新文献_第7页

P2P-based group service management for live video streaming communication 基于p2p的视频直播群服务管理

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664288

Seung-Man Chun, Yeung-Kyung Woo, Yang Shen, Jongtae Park

引用次数: 0

A novel algorithm for generating simulated genetic data based on K-medoids 基于k -媒质的模拟遗传数据生成新算法

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664360

Jianan Wu, Chunguang Zhou, Zhangxu Li, Xuefei Xia, Seng Zhang, You Zhou

引用次数: 0

Estimation of 2-D DOA joint frequency of signal via a single vector hydrophone 用单矢量水听器估计信号的二维DOA联合频率

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664290

Guolong Liang, Ke Zhang, Jin Fu, Wei-qun Ma

引用次数: 0

A service integrity assurance framework for cloud computing based on MapReduce 基于MapReduce的云计算服务完整性保障框架

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664404

Yulong Ren, Wen Tang

{"title":"A service integrity assurance framework for cloud computing based on MapReduce","authors":"Yulong Ren, Wen Tang","doi":"10.1109/CCIS.2012.6664404","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664404","url":null,"abstract":"MapReduce is a highly efficient parallel large data sets (greater than 1TB) processing model, widely used in cloud computing environment. The current mainstream cloud computing service providers have adopted Hadoop, the open source MapReduce implementation, to build their cloud computing platform. However, like all open distributed computing frameworks, MapReduce suffers from the service integrity assurance vulnerability: it takes merely one malicious worker to render the overall computation result useless. It is very important to efficiently detect the malicious workers in cloud computing environment. Existing solutions are not effective enough in defeating the malicious behaviour of non-collusive and collusive workers. In this paper, we focus on the mappers, which typically constitute the majority of workers. On the basis of the existing frameworks, we make the master manage the computing workers based on the security levels, and introduce the trusted verifier worker and caching mechanism. According to the system analysis, the service integrity assurance framework suggested in this paper is more efficient and accurate to detect the malicious workers in the cloud computing environment based on MapReduce.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

An improved security service scheme in mobile cloud environment 移动云环境下改进的安全服务方案

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664437

Qinyun Dai, Haijun Yang, Qinfeng Yao, Yaliang Chen

引用次数: 5

Study on the modeling and analyzing of the role-based threats in the cyberspace 网络空间基于角色的威胁建模与分析研究

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664595

Y. Hao, Shize Guo, Hong Zhao, Zhe Chen

{"title":"Study on the modeling and analyzing of the role-based threats in the cyberspace","authors":"Y. Hao, Shize Guo, Hong Zhao, Zhe Chen","doi":"10.1109/CCIS.2012.6664595","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664595","url":null,"abstract":"The modeling of the cyberspace and the analyzing of the threats in the cyberspace are both the innovational aspects in the area of defense space. The multi-networks, multi-subsystems, multi-roles and multi-level-threats of the cyberspace cause the nonlinearity and the indefiniteness of it which makes it difficult for us to represent, model and analyze the threat of it. This paper is focused on the study of the building the model of the cyberspace from the view of the roles. Considering the construction of the cyberspace and the actors in the cyberspace being multinetworks and multi-roles, we construct the cyberspace bipartite network to describe the original pattern of connections of it. Then we perform two projections onto the actors and roles separately and construct the actor-network and the role-network based on the cyberspace bipartite network. To analyze the multi-level threats formally, the paper uses the case theory to establish the role-based multi-level threats model called RBT. The article also proposes the methodology using the RBT model to analyze the role-based multi-level threats in the cyberspace formally and effectively.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114224923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An approach based on TSA-tree for accurate time series classification 基于tsa树的时间序列精确分类方法

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664321

Xiaoxu He, C. Shao

引用次数: 0

A model for collecting virtual machine usage in cloud computing environment 云计算环境下虚拟机使用情况的统计模型

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664455

Yidong Cui, Fuquan Sun

引用次数: 0

The research of synchronization and consistency of data in mobile environment 移动环境下数据的同步与一致性研究

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664300

Jinsheng Feng, Xiuquan Qiao, Yong Li

引用次数: 3

Research on the Apriori algorithm in extracting the key factor 关键因素提取的Apriori算法研究

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI: 10.1109/CCIS.2012.6664374

Yan Peng, Tian Zhou

{"title":"Research on the Apriori algorithm in extracting the key factor","authors":"Yan Peng, Tian Zhou","doi":"10.1109/CCIS.2012.6664374","DOIUrl":"https://doi.org/10.1109/CCIS.2012.6664374","url":null,"abstract":"Business strategic decision making is designed to predict and analysis the future plan of the enterprise based on the situation now and the past. It plays an important role in the success or failure of the enterprise. Extracting the key factors in many elements that affect the enterprises' strategic decision making will help the company make the reasonable and effective decision, even the long-term development of the enterprise. The association rules mining can analyze the connection relationship and the causality in many factors. Among the numerous association rules mining methods, we choose the Apriori algorithm. Apriori Algorithm is one of the basic Association Rules Mining. It can reach a correlation between different properties through analyzing attribute value in group of affairs. Based on the balance score card (BSC), we choose five candidate factors that affect the strategic decision in three areas including the customer, the internal operational process and the study innovation. First of all, we sort out the data that based on the practice survey. Secondly, we find out the association between these factors with Apriori and the last we reach a conclusion that the enterprise innovation has a direct influence to the corporate reputation. This experiment which is of great practicability is an application of Apriori in enterprise decision and provides a good assistance for enterprise in strategic decision making.","PeriodicalId":392558,"journal":{"name":"2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121082193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2